Deep-learning approaches for drug-response and synergistic drug prediction in malignant peripheral nerve sheath tumors, developed during a computational-biology internship at Pacific Northwest National Laboratory.

A PyTorch implementation of VIME (NeurIPS 2020) - self- and semi-supervised learning for tabular data via value imputation and mask estimation.

A database and web resource for exploring molecular associations of oncology drug responses in clinical trials. Co-lead author on the accompanying Nucleic Acids Research paper.

An R package for differential gene correlation analysis of RNA-Seq data - identifying gene pairs whose co-expression changes across conditions.